Maximilian Podstawski

Personal Details

First Name:	Maximilian
Middle Name:
Last Name:	Podstawski
Suffix:
RePEc Short-ID:	ppo369
	[This author has chosen not to make the email address public]

Affiliation

DIW Berlin (Deutsches Institut für Wirtschaftsforschung)

Berlin, Germany
http://www.diw.de/
RePEc:edi:diwbede (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

1. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

   Mentioned in:

   1. Nowcasting consumption with Google
      by Adam Ozimek in Modeled Behavior on 2010-06-07 16:26:11

Working papers

1. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
   • Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.

   Cited by:

   1. Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
      • Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
      • Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
      • Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
      • Dominik Bertsche & Robin Braun, 2022. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
   2. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
   3. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

2. Michele Piffer & Maximilian Podstawski, 2017. "Identifying Uncertainty Shocks Using the Price of Gold," CESifo Working Paper Series 6327, CESifo.
   • Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
   • Michele Piffer & Maximilian Podstawski, 2016. "Identifying Uncertainty Shocks Using the Price of Gold," Discussion Papers of DIW Berlin 1549, DIW Berlin, German Institute for Economic Research.

   Cited by:

   1. Kerssenfischer, Mark, 2017. "The effects of US monetary policy shocks: Applying external instrument identification to a dynamic factor model," Discussion Papers 08/2017, Deutsche Bundesbank.
   2. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty and Monetary Policy during the Great Recession," Economics Working Papers 2021-05, Department of Economics and Business Economics, Aarhus University.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2023. "Uncertainty And Monetary Policy During The Great Recession," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(2), pages 577-606, May.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty and Monetary Policy during the Great Recession," CESifo Working Paper Series 8985, CESifo.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty And Monetary Policy During The Great Recession," "Marco Fanno" Working Papers 0270, Dipartimento di Scienze Economiche "Marco Fanno".
   3. Bonciani, Dario & Ricci, Martino, 2020. "The global effects of global risk and uncertainty," Bank of England working papers 863, Bank of England.
      • Bonciani, Dario & Ricci, Martino, 2018. "The global effects of global risk and uncertainty," Working Paper Series 2179, European Central Bank.
   4. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
      • Salisu, Afees A. & Gupta, Rangan & Karmakar, Sayar & Das, Sonali, 2022. "Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty," Resources Policy, Elsevier, vol. 75(C).
      • Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," GRU Working Paper Series GRU_2021_017, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
   5. Olli Palm'en, 2022. "Macroeconomic Effect of Uncertainty and Financial Shocks: a non-Gaussian VAR approach," Papers 2202.10834, arXiv.org.
   6. Lütkepohl, Helmut & Schlaak, Thore, 2021. "Heteroskedastic Proxy Vector Autoregressions," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242399, Verein für Socialpolitik / German Economic Association.
      • Helmut Lütkepohl & Thore Schlaak, 2022. "Heteroscedastic Proxy Vector Autoregressions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1268-1281, June.
      • Helmut Lütkepohl & Thore Schlaak, 2020. "Heteroskedastic Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1876, DIW Berlin, German Institute for Economic Research.
   7. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," Economics Working Papers 2020-11, Department of Economics and Business Economics, Aarhus University.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and monetary policy during extreme events," CAMA Working Papers 2020-80, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," CESifo Working Paper Series 8561, CESifo.
      • Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy During Extreme Events," "Marco Fanno" Working Papers 0262, Dipartimento di Scienze Economiche "Marco Fanno".
   8. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
      • Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," Working Paper Series 2613, European Central Bank.
      • Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," GRU Working Paper Series GRU_2021_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
      • Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," Working Papers 2021-05, Faculty of Economics and Statistics, Universität Innsbruck.
   9. Habib, Maurizio Michael & Venditti, Fabrizio, 2019. "The global capital flows cycle: structural drivers and transmission channels," Working Paper Series 2280, European Central Bank.
   10. Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
   11. Haroon Mumtaz & Katerina Petrova, 2023. "Changing Impact of Shocks: A Time‐Varying Proxy SVAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 635-654, March.
       • Haroon Mumtaz & Katerina Petrova, 2018. "Changing impact of shocks: a time-varying proxy SVAR approach," Working Papers 875, Queen Mary University of London, School of Economics and Finance.
   12. Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Journal of International Money and Finance, Elsevier, vol. 102(C).
       • Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Working Paper Series 2355, European Central Bank.
   13. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
       • Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.
       • Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
       • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
   14. Martin Gächter & Martin Geiger & Sebastian Stöckl, 2019. "Credit Intermediation and the Transmission of Macro-Financial Uncertainty: International Evidence," Arbeitspapiere 63, Liechtenstein-Institut.
       • Gächter, Martin & Geiger, Martin & Stöckl, Sebastian, 2020. "Credit intermediation and the transmission of macro-financial uncertainty: International evidence," Journal of International Money and Finance, Elsevier, vol. 108(C).
       • Gächter, Martin & Geiger, Martin & Stöckl, Sebastian, 2019. "Credit intermediation and the transmission of macro-financial uncertainty: International evidence," EconStor Preprints 204444, ZBW - Leibniz Information Centre for Economics.
   15. Brautzsch, Hans-Ulrich & Dany-Knedlik, Geraldine & Drygalla, Andrej & Gebauer, Stefan & Holtemöller, Oliver & Kämpfe, Martina & Lindner, Axel & Michelsen, Claus & Rieth, Malte & Schlaak, Thore, 2019. "Kurzfristige ökonomische Effekte eines "Brexit" auf die deutsche Wirtschaft: Studie im Auftrag des Bundesministeriums für Wirtschaft und Energie," IWH Online 3/2019, Halle Institute for Economic Research (IWH).
   16. Georgios Georgiadis & Ben Schumann, 2019. "Dominant-Currency Pricing and the Global Output Spillovers from U.S. Dollar Appreciation," Globalization Institute Working Papers 368, Federal Reserve Bank of Dallas.
       • Georgiadis, Georgios & Schumann, Ben, 2019. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Working Paper Series 2308, European Central Bank.
       • Georgios Georgiadis & Ben Schumann, 2019. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," GRU Working Paper Series GRU_2019_021, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
       • Georgiadis, Georgios & Schumann, Ben, 2021. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Journal of International Economics, Elsevier, vol. 133(C).
   17. Eunbin Chung & Inbok Rhee, 2022. "Disasters and intergroup peace in sub-Saharan Africa," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(1), pages 58-72, January.
   18. Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Downside and Upside Uncertainty Shocks," CEPR Discussion Papers 15881, C.E.P.R. Discussion Papers.
   19. Danilo Cascaldi-Garcia & Marija Vukotić, 2020. "Patent-Based News Shocks," International Finance Discussion Papers 1277, Board of Governors of the Federal Reserve System (U.S.).
       • Danilo Cascaldi-Garcia & Marija Vukotic, 2022. "Patent-Based News Shocks," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 51-66, March.
       • Cascaldi-Garcia, Danilo & Vukotic, Marija, 2019. "Patent-Based News Shocks," The Warwick Economics Research Paper Series (TWERPS) 1225, University of Warwick, Department of Economics.
   20. Härtl, Tilmann, 2022. "Identifying Proxy VARs with Restrictions on the Forecast Error Variance," VfS Annual Conference 2022 (Basel): Big Data in Economics 264071, Verein für Socialpolitik / German Economic Association.
   21. Andrea Gazzani & Fabrizio Venditti & Giovanni Veronese, 2024. "Oil price shocks in real time," Temi di discussione (Economic working papers) 1448, Bank of Italy, Economic Research and International Relations Area.
   22. OH, Joonseok; ROGANTINI PICCO, Anna, 2019. "Macro uncertainty and unemployment risk," Economics Working Papers ECO 2019/02, European University Institute.
       • Oh, Joonseok & Rogantini Picco, Anna, 2020. "Macro Uncertainty and Unemployment Risk," Working Paper Series 395, Sveriges Riksbank (Central Bank of Sweden).
   23. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
   24. Martin Geiger & Jochen Güntner, 2022. "The Chronology of Brexit and UK Monetary Policy," Economics working papers 2022-06, Department of Economics, Johannes Kepler University Linz, Austria.
   25. Moritz Grebe & Sinem Kandemir & Peter Tillmann, 2023. "Uncertainty about the War in Ukraine: Measurement and Effects on the German Business Cycle," MAGKS Papers on Economics 202314, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
   26. Haroon Mumtaz & Konstantinos Theodoridis, 2017. "Fiscal Policy Shocks and Stock Prices in the United States," Working Papers 817, Queen Mary University of London, School of Economics and Finance.
       • Haroon Mumtaz & Konstantinos Theodoridis, 2021. "Fiscal policy shocks and stock prices in the United States," Working Papers 48, European Stability Mechanism.
       • Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Fiscal policy shocks and stock prices in the United States," European Economic Review, Elsevier, vol. 129(C).
       • Haroon Mumtaz & Konstantinos Theodoridis, 2017. "Fiscal policy shocks and stock prices in the United States," Working Papers 178117307, Lancaster University Management School, Economics Department.
       • Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Fiscal Policy Shocks and Stock Prices in the United State," Cardiff Economics Working Papers E2018/20, Cardiff University, Cardiff Business School, Economics Section.
   27. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
       • Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2020. "The Impact of Pessimistic Expectations on the Effects of COVID-19-Induced Uncertainty in the Euro Area," Economics Working Papers 2020-12, Department of Economics and Business Economics, Aarhus University.
       • Ravenna, Federico & Pellegrino, Giovanni & Züllig, Gabriel, 2020. "The Impact of Pessimistic Expectations on the Effects of COVID-19-Induced Uncertainty in the Euro Area," CEPR Discussion Papers 15321, C.E.P.R. Discussion Papers.
   28. Carsten Jentsch & Kurt G. Lunsford, 2022. "Asymptotically Valid Bootstrap Inference for Proxy SVARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1876-1891, October.
       • Carsen Jentsch & Kurt Graden Lunsford, 2019. "Asymptotically Valid Bootstrap Inference for Proxy SVARs," Working Papers 19-08, Federal Reserve Bank of Cleveland.
   29. Tsvetomir Tsvetkov & Sonya Georgieva, 2022. "Inflation, Inflation Instability and Nominal Uncertainty in Bulgarian Economy," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 41-64.
   30. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
   31. Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..
       • Martin Bruns & Helmut Lütkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," Discussion Papers of DIW Berlin 2005, DIW Berlin, German Institute for Economic Research.
   32. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
   33. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
       • Matthew Read, 2022. "Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions," RBA Research Discussion Papers rdp2022-09, Reserve Bank of Australia.
   34. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
   35. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," CESifo Working Paper Series 7697, CESifo.
       • Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," Melbourne Institute Working Paper Series wp2019n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
       • Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 52(3), pages 323-335, September.
       • Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," "Marco Fanno" Working Papers 0234, Dipartimento di Scienze Economiche "Marco Fanno".
   36. Martin Bruns, 2019. "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin 1831, DIW Berlin, German Institute for Economic Research.
       • Martin Bruns, 2019. "Proxy VAR models in a data-rich environment," University of East Anglia School of Economics Working Paper Series 2019-03, School of Economics, University of East Anglia, Norwich, UK..
   37. Soojin Jo & Justin J. Lee, 2019. "Uncertainty and Labor Market Fluctuations," Working Papers 1904, Federal Reserve Bank of Dallas.
   38. Georgios Georgiadis & Gernot J. Müller & Ben Schumann, 2023. "Global Risk and the Dollar," Discussion Papers of DIW Berlin 2057, DIW Berlin, German Institute for Economic Research.
       • Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2021. "Global risk and the dollar," Working Paper Series 2628, European Central Bank.
       • Müller, Gernot & Georgiadis, Georgios & Schumann, Ben, 2021. "Global Risk and the Dollar," CEPR Discussion Papers 16245, C.E.P.R. Discussion Papers.
   39. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
   40. Danilo Cascaldi-Garcia, 2022. "Forecast Revisions as Instruments for News Shocks," International Finance Discussion Papers 1341, Board of Governors of the Federal Reserve System (U.S.).
   41. Alejandro Vicondoa & Andrea Gazzani, 2020. "Bridge Proxy-SVAR: Estimating the Macroeconomic Effects of Shocks Identified at High-Frequency," Documentos de Trabajo 533, Instituto de Economia. Pontificia Universidad Católica de Chile..
       • Andrea Gazzani & Alejandro Vicondoa, 2020. "Bridge Proxy-SVAR: estimating the macroeconomic effects of shocks identified at high-frequency," Temi di discussione (Economic working papers) 1274, Bank of Italy, Economic Research and International Relations Area.
   42. Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
       • Forni, Mario & Gambetti, Luca & Maffei-Faccioli, Nicolo & Sala, Luca, 2023. "The Impact of Financial Shocks on the Forecast Distribution of Output and Inflation," CEPR Discussion Papers 18076, C.E.P.R. Discussion Papers.
   43. Kerssenfischer, Mark & Schmeling, Maik, 2022. "What moves markets?," Discussion Papers 16/2022, Deutsche Bundesbank.
   44. Cepni, Oguzhan & Dul, Wiehan & Gupta, Rangan & Wohar, Mark E., 2021. "The dynamics of U.S. REITs returns to uncertainty shocks: A proxy SVAR approach," Research in International Business and Finance, Elsevier, vol. 58(C).
       • Oguzhan Cepni & Wiehan Dul & Rangan Gupta & Mark E. Wohar, 2020. "The Dynamics of U.S. REITs Returns to Uncertainty Shocks: A Proxy SVAR Approach," Working Papers 202001, University of Pretoria, Department of Economics.
   45. Bonciani, Dario & Ricci, Martino, 2020. "The international effects of global financial uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
   46. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
   47. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
   48. Kaminska, Iryna & Mumtaz, Haroon & Sustek, Roman, 2021. "Monetary policy surprises and their transmission through term premia and expected interest rates," Bank of England working papers 914, Bank of England, revised 28 Apr 2021.
   49. Jean-François Carpantier, 2020. "Anything but gold. The golden constant revisited," LIDAM Discussion Papers IRES 2020036, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
       • Carpantier, Jean-François, 2021. "Anything but gold - The golden constant revisited," Journal of Commodity Markets, Elsevier, vol. 24(C).
   50. Berg, Kimberly A. & Vu, Nam T., 2019. "International spillovers of U.S. financial volatility," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 19-34.
   51. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
   52. Andrea Gazzani & Vicente Herrera & Alejandro Vicondoa, 2024. "The Asymmetric Effects of Commodity Price Shocks in Emerging Economies," Working Papers 311, Red Nacional de Investigadores en Economía (RedNIE).
   53. Martin Bruns & Helmut Lütkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1913, DIW Berlin, German Institute for Economic Research.
       • Martin Bruns & Helmut Lütkepohl, 2023. "An Alternative Bootstrap for Proxy Vector Autoregressions," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1857-1882, December.
       • Martin Bruns & Helmut Luetkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2020-06, School of Economics, University of East Anglia, Norwich, UK..
   54. Berthold, Brendan, 2023. "The macroeconomic effects of uncertainty and risk aversion shocks," European Economic Review, Elsevier, vol. 154(C).
   55. Seohyun Lee & Inhwan So & Jongrim Ha, 2018. "Identifying Uncertainty Shocks due to Geopolitical Swings in Korea," Working Papers 2018-26, Economic Research Institute, Bank of Korea.
   56. Mirela Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 280730188, Lancaster University Management School, Economics Department.
       • Mirela S. Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 894, Queen Mary University of London, School of Economics and Finance.
   57. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2020. "Robust Bayesian Inference in Proxy SVARs," CEPR Discussion Papers 14626, C.E.P.R. Discussion Papers.
       • Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2019. "Robust Bayesian Inference in Proxy SVARs," CeMMAP working papers CWP38/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2022. "Robust Bayesian inference in proxy SVARs," Journal of Econometrics, Elsevier, vol. 228(1), pages 107-126.
   58. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
   59. Rivolta, Giulia & Trecroci, Carmine, 2020. "Measuring the effects of U.S. uncertainty and monetary conditions on EMEs' macroeconomic dynamics," MPRA Paper 99403, University Library of Munich, Germany.
   60. Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
       • Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," "Marco Fanno" Working Papers 0255, Dipartimento di Scienze Economiche "Marco Fanno".
       • Caggiano, Giovanni & Castelnuovo, Efrem & Delrio, Silvia & Kima, Richard, 2021. "Financial uncertainty and real activity: The good, the bad, and the ugly," European Economic Review, Elsevier, vol. 136(C).
       • Giovanni Caggiano & Efrem Castelnuovo & Richard Kima & Silvia Delrio, 2020. "Financial uncertainty and real activity: The good, the bad, and the ugly," CAMA Working Papers 2020-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
   61. Boer, Lukas & Lütkepohl, Helmut, 2021. "Qualitative versus quantitative external information for proxy vector autoregressive analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
       • Lukas Boer & Helmut Lütkepohl, 2021. "Qualitative versus Quantitative External Information for Proxy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1940, DIW Berlin, German Institute for Economic Research.
   62. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.
       • Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Papers 1806.07623, arXiv.org.
       • Bouoiyour, Jamal & Selmi, Refk & Wohar, Mark E., 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Economic Modelling, Elsevier, vol. 75(C), pages 105-116.
   63. Mathias Krogh & Giovanni Pellegrino, "undated". "Real Activity and Uncertainty Shocks: The Long and the Short of It," "Marco Fanno" Working Papers 0310, Dipartimento di Scienze Economiche "Marco Fanno".
   64. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The Real Effects of Financial Uncertainty Shocks: A Daily Identification Approach," Documentos de Trabajo 559, Instituto de Economia. Pontificia Universidad Católica de Chile..
       • Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The real effects of financial uncertainty shocks: A daily identification approach," Working Papers 61, Red Nacional de Investigadores en Economía (RedNIE).
   65. Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2022. "Uncertainty spill-overs: when policy and financial realms overlap," Working Papers wp1174, Dipartimento Scienze Economiche, Universita' di Bologna.
       • Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2021. "Uncertainty spill-overs: when policy and financial realms overlap," Papers 2102.06404, arXiv.org.
   66. Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
   67. Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
   68. Lukas Boer & Malte Rieth, 2024. "The Macroeconomic Consequences of Import Tariffs and Trade Policy Uncertainty," IMF Working Papers 2024/013, International Monetary Fund.
       • Lukas Boer & Malte Rieth, 2024. "The Macroeconomic Consequences of Import Tariffs and Trade Policy Uncertainty," Discussion Papers of DIW Berlin 2072, DIW Berlin, German Institute for Economic Research.
   69. Grebe, Moritz & Kandemir, Sinem & Tillmann, Peter, 2023. "Uncertainty about the war in Ukraine: Measurement and effects on the German business cycle," IMFS Working Paper Series 184, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
   70. Altavilla, Carlo & Darracq Pariès, Matthieu & Nicoletti, Giulio, 2015. "Loan supply, credit markets and the euro area financial crisis," Working Paper Series 1861, European Central Bank.
       • Altavilla, Carlo & Pariès, Matthieu Darracq & Nicoletti, Giulio, 2019. "Loan supply, credit markets and the euro area financial crisis," Journal of Banking & Finance, Elsevier, vol. 109(C).
   71. Sangyup Choi & Junhyeok Shin, 2020. "Brave New World? Bitcoin is not the New Gold: Understanding Cryptocurrency Price Dynamics," Working papers 2020rwp-167, Yonsei University, Yonsei Economics Research Institute.
   72. Mario Forni & Luca Gambetti & Luca Sala, 2020. "Macroeconomic Uncertainty and Vector Autoregressions," Center for Economic Research (RECent) 148, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
       • Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Macroeconomic Uncertainty and Vector Autoregressions," CEPR Discussion Papers 15692, C.E.P.R. Discussion Papers.
   73. Breitenlechner, Max & Scharler, Johann, 2021. "Monetary policy announcements and bank lending: Do banks’ refinancing markets matter?," Economic Modelling, Elsevier, vol. 102(C).
   74. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
   75. Rangan Gupta & Godwin Olasehinde-Williams & Mark E. Wohar, 2018. "The Impact of US Uncertainty Shocks on a Panel of Advanced and Emerging Market Economies: The Role of Exchange Rate, Trade and Financial Channels," Working Papers 201857, University of Pretoria, Department of Economics.
   76. Brianti, Marco, 2021. "Financial Shocks, Uncertainty Shocks, and Monetary Policy Trade-Offs," Working Papers 2021-5, University of Alberta, Department of Economics.
   77. Jongrim Ha & Seohyun Lee & Inhwan So, 2022. "The Impact of Uncertainty Shocks: Evidence from Geopolitical Swings on the Korean Peninsula," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 21-56, February.
   78. Michael Ryan, 2020. "A Narrative Approach to Creating Instruments with Unstructured and Voluminous Text: An Application to Policy Uncertainty," Working Papers in Economics 20/10, University of Waikato.
   79. Breitenlechner, Max & Geiger, Martin & Scharler, Johann, 2022. "Bank liquidity and the propagation of uncertainty in the U.S," Finance Research Letters, Elsevier, vol. 46(PB).
   80. Venditti, Fabrizio & Veronese, Giovanni, 2020. "Global financial markets and oil price shocks in real time," Working Paper Series 2472, European Central Bank.
   81. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
   82. Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
   83. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
   84. Lukas Boer & Helmut Lütkepohl, 2020. "A Simple Instrument for Proxy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1905, DIW Berlin, German Institute for Economic Research.
   85. Ma, Xiaohan & Samaniego, Roberto, 2019. "Deconstructing uncertainty," European Economic Review, Elsevier, vol. 119(C), pages 22-41.
   86. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2023. "Are the Effects of Uncertainty Shocks Big or Small?," Working Papers 244, Red Nacional de Investigadores en Economía (RedNIE).
       • Alessandri, Piergiorgio & Gazzani, Andrea & Vicondoa, Alejandro, 2023. "Are the effects of uncertainty shocks big or small?," European Economic Review, Elsevier, vol. 158(C).
   87. Georgios Georgiadis & Gernot J. Müller & Ben Schumann, 2023. "Dollar Trinity and the Global Financial Cycle," Discussion Papers of DIW Berlin 2058, DIW Berlin, German Institute for Economic Research.
   88. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
       • Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020. "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, vol. 54(C).
   89. Chen, Yong & Fang, Jing & Liu, Dingming, 2023. "The effects of Trump’s trade war on U.S. financial markets," Journal of International Money and Finance, Elsevier, vol. 134(C).
   90. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
   91. Qin, Meng & Su, Chi-Wei & Pirtea, Marilen Gabriel & Dumitrescu Peculea, Adelina, 2023. "The essential role of Russian geopolitics: A fresh perception into the gold market," Resources Policy, Elsevier, vol. 81(C).
   92. Iryna Kaminska & Haroon Mumtaz & Roman Sustek, 2020. "Monetary policy surprises and their transmission through term premia and expected interest rates," Working Papers 917, Queen Mary University of London, School of Economics and Finance.

3. Maximilian Podstawski & Anton Velinov, 2016. "The State Dependent Impact of Bank Exposure on Sovereign Risk," Discussion Papers of DIW Berlin 1550, DIW Berlin, German Institute for Economic Research.
   • Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.

   Cited by:

   1. Baziki, Selva Bahar & Nieto, María J. & Turk-Ariss, Rima, 2023. "Sovereign portfolio composition and bank risk: The case of European banks," Journal of Financial Stability, Elsevier, vol. 65(C).
   2. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Bank of Finland Research Discussion Papers 35/2017, Bank of Finland.
      • Giovanni Angelini & Emanuele Bacchiocchi & Giovanni Caggiano & Luca Fanelli, 2019. "Uncertainty across volatility regimes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 437-455, April.
      • Giovanni Angelini & Emanuele Bacchiocchi & Giovanni Caggiano & Luca Fanelli, 2017. "Uncertainty Across Volatility Regimes," CESifo Working Paper Series 6799, CESifo.
   3. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
   4. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers:an Application to International Credit Risk Transmission," Working Papers hal-03338209, HAL.
      • Boeckelmann Lukas & Stalla-Bourdillon Arthur, 2021. "Structural Estimation of Time-Varying Spillovers: An Application to International Credit Risk Transmission," Working papers 798, Banque de France.
   5. María J. Nieto & Dalvinder Singh, 2021. "Incentive compatible relationship between the ERM II and close cooperation in the Banking Union: the cases of Bulgaria and Croatia," Occasional Papers 2117, Banco de España.
   6. Grosse Steffen, Christoph & Podstawski, Maximilian, 2017. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168101, Verein für Socialpolitik / German Economic Association.
      • Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.
   7. Velinov, Anton, 2018. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 106-126.
   8. José Manuel Mansilla-Fernández, 2020. "Non-Performing loans, financial stability, and banking competition: evidence for listed and non-listed Eurozone banks," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 29-52, March.
   9. G. Chiesa & J. M. Mansilla-Fern ndez, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisi," Working Papers wp1124, Dipartimento Scienze Economiche, Universita' di Bologna.
      • Gabriella CHIESA & José Manuel MANSILLA-FERNÁNDEZ, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisis," Departmental Working Papers 2018-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
   10. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
       • Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
   11. Bratis, Theodoros & Laopodis, Nikiforos T. & Kouretas, Georgios P., 2020. "Systemic risk and financial stability dynamics during the Eurozone debt crisis," Journal of Financial Stability, Elsevier, vol. 47(C).
   12. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
   13. Daniel Bierbaumer & Malte Rieth & Anton Velinov, 2018. "Nonlinear Intermediary Pricing in the Oil Futures Market," Discussion Papers of DIW Berlin 1722, DIW Berlin, German Institute for Economic Research.

4. Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.
   • Grosse Steffen, Christoph & Podstawski, Maximilian, 2017. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168101, Verein für Socialpolitik / German Economic Association.

   Cited by:

   1. Trebesch, Christoph & Meyer, Josefin & Reinhart, Carmen, 2022. "Sovereign Bonds since Waterloo," CEPR Discussion Papers 13514, C.E.P.R. Discussion Papers.
      • Meyer, Josefin & Reinhart, Carmen M. & Trebesch, Christoph, 2021. "Sovereign bonds since Waterloo," Kiel Working Papers 2206, Kiel Institute for the World Economy (IfW Kiel).
      • Josefin Meyer & Carmen M Reinhart & Christoph Trebesch, 2022. "Sovereign Bonds Since Waterloo," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1615-1680.
      • Josefin Meyer & Carmen M. Reinhart & Christoph Trebesch, 2019. "Sovereign Bonds since Waterloo," NBER Working Papers 25543, National Bureau of Economic Research, Inc.
      • Meyer, Josefin & Reinhart, Carmen M. & Trebesch, Christoph, 2019. "Sovereign Bonds since Waterloo," Working Papers 12, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
      • Meyer,Josefin & Reinhart,Carmen M. & Trebesch,Christoph, 2022. "Sovereign Bonds since Waterloo," Policy Research Working Paper Series 9906, The World Bank.
      • Meyer, Josefin & Reinhart, Carmen M. & Trebesch, Christoph, 2019. "Sovereign Bonds since Waterloo," Working Paper Series rwp19-009, Harvard University, John F. Kennedy School of Government.
      • Josefin Meyer & Carmen M. Reinhart & Christoph Trebesch, 2019. "Sovereign Bonds since Waterloo," CESifo Working Paper Series 7506, CESifo.
      • Josefin Meyer & Carmen M. Reinhart & Christoph Trebesch, 2022. "Sovereign Bonds since Waterloo," Discussion Papers of DIW Berlin 1993, DIW Berlin, German Institute for Economic Research.
   2. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers:an Application to International Credit Risk Transmission," Working Papers hal-03338209, HAL.
      • Boeckelmann Lukas & Stalla-Bourdillon Arthur, 2021. "Structural Estimation of Time-Varying Spillovers: An Application to International Credit Risk Transmission," Working papers 798, Banque de France.

5. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

   Cited by:

   1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
   2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
   3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
   4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
      • Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The Internet as a Data Source for Advancement in Social Sciences," RatSWD Working Papers 248, German Data Forum (RatSWD).
      • Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 2-12, April.
   5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
   6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
   7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
      • Dirk Ulbricht & Konstantin A. Kholodilin & Tobias Thomas, 2017. "Do Media Data Help to Predict German Industrial Production?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 483-496, August.
      • Kholodilin, Konstantin A. & Thomas, Tobias & Ulbricht, Dirk, 2014. "Do media data help to predict German industrial production?," DICE Discussion Papers 149, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
   8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
      • Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," KOF Working papers 10-261, KOF Swiss Economic Institute, ETH Zurich.
      • Boriss Siliverstovs & Konstantin Kholodilin, 2012. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," ERSA conference papers ersa12p911, European Regional Science Association.
      • Kholodilin, Konstantin A. & Siliverstovs, Boriss, 2012. "Measuring regional inequality by internet car price advertisements: Evidence for Germany," Economics Letters, Elsevier, vol. 116(3), pages 414-417.
   9. Karaman Örsal, Deniz Dilan, 2021. "Onlinedaten und Konsumentscheidungen: Voraussagen anhand von Daten aus Social Media und Suchmaschinen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 157-172, Hamburg Institute of International Economics (HWWI).
   10. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
   11. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
       • Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019. "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 180-197, February.
   12. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
       • Rose, Andrew K. & Spiegel, Mark M., 2012. "Dollar illiquidity and central bank swap arrangements during the global financial crisis," Journal of International Economics, Elsevier, vol. 88(2), pages 326-340.
       • Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar illiquidity and central bank swap arrangements during the global financial crisis," Working Paper Series 2011-18, Federal Reserve Bank of San Francisco.
       • Rose, Andrew & Spiegel, Mark, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," CEPR Discussion Papers 8557, C.E.P.R. Discussion Papers.
       • Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements during the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis, National Bureau of Economic Research, Inc.
   13. Perrotta Berlin, Maria & Latour, Chiara & Spagnolo, Giancarlo, 2023. "International Spillovers from Prostitution Regulation: The "Nordic Model" and Sex Tourism," SITE Working Paper Series 63, Stockholm School of Economics, Stockholm Institute of Transition Economics, revised 25 Sep 2023.
   14. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
   15. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
   16. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
   17. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
   18. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
   19. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
   20. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
       • Y. Fondeur & F. Karamé, 2013. "Can Google data help predict French youth unemployment?," Post-Print hal-02297071, HAL.
       • Frédéric Karamé & Yannick Fondeur, 2012. "Can Google Data Help Predict French Youth Unemployment?," Documents de recherche 12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
   21. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
       • María Gil & Javier J. Pérez & A. Jesús Sánchez & Alberto Urtasun, 2018. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," Working Papers 1842, Banco de España.
   22. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
   23. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
   24. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
   25. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
   26. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

6. Konstantin Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?," KOF Working papers 10-256, KOF Swiss Economic Institute, ETH Zurich.

   Cited by:

   1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
   2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
   3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
   4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
      • Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The Internet as a Data Source for Advancement in Social Sciences," RatSWD Working Papers 248, German Data Forum (RatSWD).
      • Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 2-12, April.
   5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
   6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
   7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
      • Dirk Ulbricht & Konstantin A. Kholodilin & Tobias Thomas, 2017. "Do Media Data Help to Predict German Industrial Production?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 483-496, August.
      • Kholodilin, Konstantin A. & Thomas, Tobias & Ulbricht, Dirk, 2014. "Do media data help to predict German industrial production?," DICE Discussion Papers 149, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
   8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
      • Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," KOF Working papers 10-261, KOF Swiss Economic Institute, ETH Zurich.
      • Boriss Siliverstovs & Konstantin Kholodilin, 2012. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," ERSA conference papers ersa12p911, European Regional Science Association.
      • Kholodilin, Konstantin A. & Siliverstovs, Boriss, 2012. "Measuring regional inequality by internet car price advertisements: Evidence for Germany," Economics Letters, Elsevier, vol. 116(3), pages 414-417.
   9. Karaman Örsal, Deniz Dilan, 2021. "Onlinedaten und Konsumentscheidungen: Voraussagen anhand von Daten aus Social Media und Suchmaschinen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 157-172, Hamburg Institute of International Economics (HWWI).
   10. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
   11. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
       • Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019. "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 180-197, February.
   12. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
       • Rose, Andrew K. & Spiegel, Mark M., 2012. "Dollar illiquidity and central bank swap arrangements during the global financial crisis," Journal of International Economics, Elsevier, vol. 88(2), pages 326-340.
       • Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar illiquidity and central bank swap arrangements during the global financial crisis," Working Paper Series 2011-18, Federal Reserve Bank of San Francisco.
       • Rose, Andrew & Spiegel, Mark, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," CEPR Discussion Papers 8557, C.E.P.R. Discussion Papers.
       • Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements during the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis, National Bureau of Economic Research, Inc.
   13. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
   14. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
   15. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
   16. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
   17. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
   18. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
   19. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
       • Y. Fondeur & F. Karamé, 2013. "Can Google data help predict French youth unemployment?," Post-Print hal-02297071, HAL.
       • Frédéric Karamé & Yannick Fondeur, 2012. "Can Google Data Help Predict French Youth Unemployment?," Documents de recherche 12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
   20. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
       • María Gil & Javier J. Pérez & A. Jesús Sánchez & Alberto Urtasun, 2018. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," Working Papers 1842, Banco de España.
   21. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
   22. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
   23. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
   24. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
   25. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

7. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

   Cited by:

   1. Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
      • Bennöhr, Lars & Oestmann, Marco, 2014. "Determinants of house price dynamics. What can we learn from search engine data?," Working Paper 153/2014, Helmut Schmidt University, Hamburg.
      • Oestmann Marco & Bennöhr Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
   2. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
   3. Azusa Matsumoto & Kohei Matsumura & Noriyuki Shiraki, 2013. "Potential of Search Data in Assessment of Current Economic Conditions," Bank of Japan Research Papers 2013-04-18, Bank of Japan.

Articles

1. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
   • Michele Piffer & Maximilian Podstawski, 2017. "Identifying Uncertainty Shocks Using the Price of Gold," CESifo Working Paper Series 6327, CESifo.
   • Michele Piffer & Maximilian Podstawski, 2016. "Identifying Uncertainty Shocks Using the Price of Gold," Discussion Papers of DIW Berlin 1549, DIW Berlin, German Institute for Economic Research.
   See citations under working paper version above.
2. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.
   • Maximilian Podstawski & Anton Velinov, 2016. "The State Dependent Impact of Bank Exposure on Sovereign Risk," Discussion Papers of DIW Berlin 1550, DIW Berlin, German Institute for Economic Research.
   See citations under working paper version above.
3. Ferdinand Fichtner & Karl Brenke & Marius Clemens & Simon Junker & Claus Michelsen & Maximilian Podstawski & Thore Schlaak & Kristina van Deuverden, 2016. "Deutsche Wirtschaft setzt Aufschwung fort – trotz schwächeren Beschäftigungsaufbaus: Wintergrundlinien 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(50), pages 1177-1188.

   Cited by:

   1. van Deuverden Kristina, 2017. "Nur geringer haushaltspolitischer Spielraum trotz hoher Überschüsse," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 66(1), pages 50-60, April.

4. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Growth through Research and Development," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(35), pages 455-465.

   Cited by:

   1. Pietro Moncada-Paternò-Castello, 2022. "Top R&D investors, structural change and the R&D growth performance of young and old firms," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 1-33, March.
   2. Pietro Moncada-Paternò-Castello & Sara Amoroso & Michele Cincera, 0. "Corporate R&D intensity decomposition: different data, different results?," Science and Public Policy, Oxford University Press, vol. 47(4), pages 458-473.
      • Pietro Moncada-Paternò-Castello & Sara Amoroso & Michele Cincera, 2020. "Corporate R&D intensity decomposition: Different data, different results?," ULB Institutional Repository 2013/320470, ULB -- Universite Libre de Bruxelles.

5. Heike Belitz & Simon Junker & Max Podstawski & Alexander Schiersch, 2015. "Wachstum durch Forschung und Entwicklung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 82(35), pages 751-762.

   Cited by:

   1. Stefan Sauer & Arno Städtler, 2015. "Investment Growth Remains Moderate - Leasing Expands at Slower Pace," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(18), pages 67-70, September.

6. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Christoph Große Steffen & Hendrik Hagedorn & Vladmimir Kuzin & Katharina Pijnenburg & Maximilian Podstawski &, 2010. "Herbstgrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(39), pages 2-16.

   Cited by:

   1. Marcel Fratzscher & Philipp König & Claudia Lambert, 2013. "Liquiditätsmanagement des Eurosystems im Zeichen der Krise," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(44), pages 3-17.

7. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.

   Cited by:

   1. Heike Belitz & Martin Gornig & Alexander Schiersch, 2011. "Deutsche forschungsintensive Industrie: Feuerprobe in der Krise bestanden?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 35-54.
   2. Marius Clemens & Florian Mölders, 2011. "Quo vadis? Deutsche forschungsintensive Exporte auf dem richtigen Weg," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 73-88.

Books

1. Heike Belitz & Simon Junker & Alexander Schiersch & Maximilian Podstawski, 2015. "Wirkung von Forschung und Entwicklung auf das Wirtschaftswachstum: Gutachten im Auftrag der KfW Bankengruppe (KfW)," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 102, number pbk102, January.

   Cited by:

   1. Krebs, Tom & Scheffel, Martin, 2016. "Quantifizierung der gesamtwirtschaftlichen und fiskalischen Effekte ausgewählter Infrastruktur- und Bildungsinvestitionen in Deutschland," Working Papers 16-13, University of Mannheim, Department of Economics.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-MAC: Macroeconomics (6) 2014-10-22 2016-03-06 2016-08-21 2017-10-15 2017-11-12 2018-07-30. Author is listed
2. NEP-EEC: European Economics (3) 2014-10-22 2016-03-06 2016-08-21
3. NEP-FOR: Forecasting (3) 2009-11-21 2010-05-08 2010-06-04
4. NEP-MIC: Microeconomics (2) 2010-05-08 2010-06-04
5. NEP-ORE: Operations Research (2) 2016-08-21 2017-10-15
6. NEP-UPT: Utility Models and Prospect Theory (2) 2016-08-21 2017-10-15
7. NEP-CBA: Central Banking (1) 2018-07-30
8. NEP-ECM: Econometrics (1) 2018-07-30
9. NEP-ETS: Econometric Time Series (1) 2018-07-30
10. NEP-FMK: Financial Markets (1) 2016-08-21
11. NEP-MKT: Marketing (1) 2010-06-04
12. NEP-MON: Monetary Economics (1) 2018-07-30

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